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Artificial Intelligence: A Comprehensive Guide to AI, Machine Learning, Internet of Things, Robotics, Deep Learning, Predictive Analytics, Neural
83% of respondents would recommend this to a friend
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If you want to learn key AI concepts to get you quickly up to speed with all things AI, then keep reading
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- If you want to learn key AI concepts to get you quickly up to speed with all things AI, then keep readingTwo manuscripts in one book:Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our FutureInternet of Things: What You Need to Know About IoT, Big Data, Predictive Analytics, Artificial Intelligence, Machine Learning, Cybersecurity, Business Intelligence, Augmented Reality and Our FutureThis book covers everything from machine learning to robotics and the internet of things. You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook.By the time you finish reading, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is.You will also learn a comprehensive history of AI, from the first invention of automations in antiquity to the driver-less cars of today.In part 1 of this book, you will:Understand how machines can “think” and how they learnLearn the five reasons why experts are warning us about AI researchFind the answers to the top six myths of artificial intelligenceLearn what neural networks are and how they work, the “brains” of machine learningUnderstand reinforcement learning and how it is used to teach machine learning systems through experienceBecome up-to-date with the current state-of-the-art artificial intelligence methods that use deep learningLearn the basics of recommender systemsExpand your current view of machines and what is possible with modern roboticsEnter the vast world of the internet of things technologiesFind out why AI is the new business degreeAnd much, much more!Some of the topics covered in part 2 of this book include:Origins of IoTIoT SecurityEthical HackingInternet of ThingsUnder The Cushy Foot of Tech GiantsThe Power of Infinite FundsIoT ToysBio-roboticsPredictive AnalyticsMachine LearningArtificial IntelligenceCybersecurityBig DataBusiness IntelligenceAugmented RealityVirtual RealityOur FutureAnd much, much moreIf you want to learn more about the artificial intelligence and internet of things, then scroll up and click “add to cart”!
| Publisher | Independently published |
| Publication date | 6 April 2019 |
| Language | English |
| Print length | 212 pages |
| ISBN-10 | 1092879676 |
| ISBN-13 | 978-1092879675 |
| Item weight | 318 g |
| Dimensions | 15.24 x 1.35 x 22.86 cm |
Who Should Buy?
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Tech Enthusiasts
Individuals interested in understanding the latest advancements in AI and technology applications will find valuable insights.
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Students in STEM
Students studying science, technology, engineering, or mathematics can benefit from foundational knowledge in artificial intelligence.
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Professionals in Industry
Workers in tech industries looking to enhance their skills and knowledge in AI-related fields will find this guide beneficial.
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Casual Readers
Individuals seeking light reading or entertainment may find the technical content of this book overwhelming or unengaging.
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AI & Machine Learning Editorial Review
**** "Artificial Intelligence: A Comprehensive Guide to AI, Machine Learning, Internet of Things, Robotics, Deep Learning, Predictive Analytics, Neural" has garnered a generally positive reception from readers. Multiple reviews highlight the book's thorough exploration of various facets of artificial intelligence, catering to both novices and those with more advanced knowledge in the field. Readers appreciate the structured approach that breaks down complex topics into easily digestible information, making it accessible for a wide audience. Many users commend the depth of information presented, noting that the author successfully clarifies intricate concepts such as machine learning algorithms and neural networks. Several reviews specifically mention the inclusion of real-world applications, which enhances practical understanding and relevance. The writing style is often described as engaging, which keeps readers interested while navigating through technical details. While the content is widely praised, some critiques do emerge regarding the occasional technical jargon that may pose challenges for complete beginners. However, the majority of customers agree that the book serves as an essential resource for anyone looking to deepen their understanding of artificial intelligence and its myriad applications. Overall, this comprehensive guide stands out for its depth, clarity, and practical insights, making it a valuable addition to the reading list of both students and professionals in the tech domain. **
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Pros
- Thorough exploration of various AI topics.
- Structured and clear presentation of complex information.
- Engaging writing style that maintains reader interest.
- Real-world applications enhance practical understanding.
Cons
- Occasional use of technical jargon that may confuse beginners.
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Features & Benefits
- Comprehensive guide to AI, machine learning, robotics, IoT, and more
- Learn the basics of machine learning, neural networks, and deep learning
- Explore the history of AI and its current state-of-the-art methods
- Discover the world of IoT and its various technologies
- Understand the importance of AI in today's business landscape
- Gain knowledge on cybersecurity, big data, and predictive analytics
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